noun a sample taken from a larger population in a way that each member of the population has an equal chance of being selected
In statistics, a random sample is a subset of individuals chosen from a larger set using a method in which every individual has an equal probability of being selected.
In research, random sampling is often used to ensure that the sample is representative of the population being studied.
Random samples are used in data analysis to make inferences about a population based on the characteristics of the sample.
In market research, random sampling is used to gather information from a diverse group of individuals to make informed decisions.
Random sampling is a common method used in survey design to avoid bias and ensure the results are generalizable to the larger population.
A writer may use a random sample of readers to gather feedback on their work before publication to get a sense of how it will be received by a wider audience.
A psychologist may use a random sample of participants in a research study to ensure that the results are representative of the larger population they are studying.
A market researcher may use a random sample of consumers to gather data on their preferences and behaviors to make informed decisions about product development and marketing strategies.
A quality control inspector may use a random sample of products from a production line to test for defects and ensure that the overall quality meets standards before the entire batch is shipped out.
A statistician may use random sampling techniques to select a subset of data from a larger dataset in order to make inferences about the population as a whole with a certain level of confidence.